The effectiveness of mHealth interventions on postpartum depression: A systematic review and meta-analysis

Comprehensive synthesis of mHealth interventions in psychiatry: insights from systematic, scoping, narrative reviews and content analysis

INTRODUCTION

Mobile health (mHealth) technologies, including smartphone apps and wearables, have improved health care by providing innovative solutions for monitoring, education and treatment, particularly in mental health.

METHOD

This review synthesises findings from a series of reviews on mHealth interventions in psychiatry. Publications were systematically searched in PubMed, MEDLINE, PsycINFO, ScienceDirect, Scopus, Web of Science and Cochrane Library.

RESULTS

Out of 2147 records, 111 studies from 2014 to 2024 focusing on anxiety and depression were included. These studies highlight the effectiveness of mHealth interventions in reducing symptoms through cognitive-behavioural therapy, mindfulness and psychoeducation, benefitting adolescents, perinatal women and marginalised groups. Additionally, mHealth shows promise in managing substance use disorders and severe mental illnesses like schizophrenia, bipolar disorder and psychosis.

CONCLUSION

Despite positive outcomes, challenges such as data privacy, user engagement and healthcare integration persist. Further robust trials and evidence-based research are needed to validate the efficacy of mHealth technologies.

Smartphone-based intervention for postpartum depressive symptoms (Smart-e-Moms): study protocol for a randomized controlled trial

BACKGROUND

Postpartum depression constitutes a significant public health issue, with prevalence rates ranging between 8 and 19% in high-income nations. Nevertheless, numerous barriers, including time constraints, societal stigmatization, and feelings of shame, contribute to the limited utilization of healthcare services during the postpartum period. Digital interventions offer an opportunity to enhance care for women experiencing postpartum depressive symptoms.

METHODS

We will conduct a two-arm randomized controlled trial to assess the effectiveness of a smartphone-based intervention in comparison to a treatment-as-usual control group in Germany. Our aim is to randomize 556 participants in a 1:1 ratio. Participants in the intervention group will be provided access to a preventive smartphone-based intervention called "Smart-e-Moms," which incorporates therapeutic support and comprises 10 concise modules rooted in cognitive-behavioral therapy. For the intervention group, evaluations will take place at baseline (t0), prior to sessions 4 and 8 (intermediate assessments), and upon completing the intervention 6 weeks after baseline (t1). The control group's assessments will be at baseline (t0) and 6 weeks after baseline. Follow-up assessments are scheduled at 12 and 24 weeks from baseline to examine the short-term stability of any observed effects. We anticipate that participants in the intervention group will exhibit improvements in their postpartum depressive symptoms (as measured with the Edinburgh Postnatal Depression Scale). Additionally, we will analyze secondary outcomes, including maternal bonding, stress levels, self-efficacy, satisfaction with the intervention, and healthcare utilization.

DISCUSSION

If Smart-e-Moms proves to be effective, it has the potential to play a significant role in postpartum depression care within German-speaking regions. Ideally, this intervention could not only benefit maternal well-being but also improve the prospects for healthy child development.

TRIAL REGISTRATION

German clinical trials registry DRKS00032324. Registered on January 26, 2024.

Postpartum Depression: A Clinical Review of Impact and Current Treatment Solutions

Depression during the first year postpartum (postpartum depression) impacts millions of women and their families worldwide. In this narrative review, we provide a summary of postpartum depression, examining the etiology and consequences, pharmacological and psychological treatments, and potential mechanisms of change and current barriers to care. Psychological treatments are effective and preferred by many perinatal patients over medications, but they often remain inaccessible. Key potential mechanisms underlying their effectiveness include treatment variables (e.g., dosage and therapeutic alliance) and patient behaviors (e.g., activation and avoidance and emotional regulation). Among pharmacological treatments, the selective serotonin reuptake inhibitor (SSRI) sertraline is generally the first-line antidepressant medication recommended to women in the postpartum period due to its minimal passage into breastmilk and the corresponding decades of safety data. Importantly, most antidepressant drugs are considered compatible with breastfeeding. Neurosteroids are emerging as an effective treatment for postpartum depression, although currently this treatment is not widely available. Barriers to widespread access to treatment include those that are systematic (e.g., lack of specialist providers), provider-driven (e.g., lack of flexibility in treatment delivery), and patient-driven (e.g., stigma and lack of time for treatment engagement). We propose virtual care, task-sharing to non-specialist treatment providers, and collaborative care models as potential solutions to enhance the reach and scalability of effective treatments to address the growing burden of postpartum depression worldwide and its negative impact on families and society.

Effects of digital health interventions on the psychological outcomes of perinatal women: umbrella review of systematic reviews and meta-analyses

Evidence about the effects of digital health interventions (DHIs) on the psychological outcomes of perinatal women is increasing but remains inconsistent. An umbrella review was conducted to (1) assess the effect of DHIs on depressive, anxiety and stress symptoms and (2) compare the effects of DHIs on different digital platforms and population natures. Ten databases were searched from inception until December 23, 2022. The Hartung-Knapp-Sidik-Jonkman random-effects meta-analyses were utilised. Methodological quality was evaluated using the Assessment of Multiple Systematic Reviews 2 (AMSTAR-2). Twenty-four systematic reviews with 41 meta-analyses involving 45,509 perinatal women from 264 primary studies were included. The credibility of the evidence of meta-analyses was rated as highly suggestive (4.88%), suggestive (26.83%), weak (51.22%) or non-significant (17.07%) according to AMSTAR-2. Our findings suggest that DHIs are beneficial for reducing stress symptoms. However, conflicting effects were found on anxiety symptoms. Subgroup and meta-regression analyses suggested that DHIs effectively improve depressive symptoms in postnatal women, and DHIs using the website platform are highly effective in stress reduction. DHIs can be implemented adjuvant to usual obstetric care to improve depressive and stress symptoms. Additional well-designed RCTs with long-term follow-up are warranted.

Effect of eHealth interventions on perinatal depression: A meta-analysis

BACKGROUND

Perinatal depression (PND) is a common mental health problem, and eHealth interventions may provide a strategy for alleviating PND.

AIM

This meta-analysis aimed to determine the effect of eHealth interventions on PND.

METHODS

Six databases were searched to retrieve published randomized controlled trials (RCTs) on the effect of eHealth interventions on PND. A meta-analysis was performed on the data of these studies using a random effects model.

RESULTS

A total of 21 RCTs were included in the meta-analysis, which revealed that eHealth interventions significantly reduced antenatal depression (WMD = -1.64, 95 % CI [-2.92, -0.35], P = .013), postpartum depression (SMD = -0.41, 95 % CI [-0.52, -0.29], P < .001), anxiety (SMD = -0.39, 95 % CI [-0.51, -0.28], P < .001), stress (WMD = -2.93, 95 % CI [-4.58, -1.27], P = .001), and improved self-efficacy (SMD = 0.42, 95 % CI [0.21, 0.63], P < .001) compared with the control group. However, eHealth interventions did not significantly improve social support (SMD = 0.27, 95 % CI [-0.01, 0.56], P = .058). For antenatal depression, significant subgroup differences were observed in the digital platform and material presentation format. In addition, for postpartum depression, significant subgroup differences were found in the type of therapy.

CONCLUSIONS

The meta-analysis results suggest that eHealth interventions can relieve depression, anxiety, and stress symptoms and improve self-efficacy in perinatal women. However, these interventions did not improve social support. Additional high-quality studies on eHealth interventions in PND are needed to validate these results.

Investigating the influence of family-oriented counselling on breastfeeding continuity in mothers experiencing distractions: A randomized controlled trial

The prevalence of distraction among breastfeeding mothers is on the rise, primarily attributed to the escalating use of media technologies. This study aimed to assess the influence of family-oriented counselling on the continuity of breastfeeding in mothers experiencing distractions. This randomized controlled trial included 120 eligible lactating mothers who accessed postpartum services at comprehensive health centers in Zanjan, a city in northwest Iran from August 21, 2022 to May 10, 2023. Participants were assigned to two groups through block randomization with a block size of four. The intervention group received Family-Oriented Counselling in three sessions at weekly intervals, and the control group received standard postpartum care. The study measured outcomes using the Maternal Distraction Questionnaire and breastfeeding patterns before, monthly, and up to 4 months after counselling. Data analysis employed statistical methods, including the Chi-square test, independent t-test, repeated measures ANOVA, and the Kaplan-Meier method, with a significance level set at P < 0.05. The results showed that the continuation of exclusive breastfeeding was 33 (55 %) in the intervention group and 21 (35 %) in the control group. This difference was statistically significant (p = 0.001). The reduction in distraction scores over time was more pronounced in the intervention group compared to the control group. The between-group effect was found to be statistically significant with an eta effect size of 0.73 (p = 0.001). In conclusion, the study suggests that the implementation of a family-centered intervention was effective in promoting the continuation of breastfeeding and reducing maternal distractions both during breastfeeding and non-breastfeeding activities. This approach proves to be a valuable step in enhancing the health of both mother and child. The findings underscore the importance of considering such interventions in health policymaking.

Effectiveness of a web-enabled psychoeducational resource for postpartum depression and anxiety among women in British Columbia

PURPOSE

Postpartum depression (PPD) and anxiety (PPA) affect nearly one-quarter (23%) of women in Canada. eHealth is a promising solution for increasing access to postpartum mental healthcare. However, a user-centered approach is not routinely taken in the development of web-enabled resources, leaving postpartum women out of critical decision-making processes. This study aimed to evaluate the effectiveness, usability, and user satisfaction of PostpartumCare.ca, a web-enabled psychoeducational resource for PPD and PPA, created in partnership with postpartum women in British Columbia.

METHODS

Participants were randomized to either an intervention group (n = 52) receiving access to PostpartumCare.ca for four weeks, or to a waitlist control group (n = 51). Measures evaluating PPD (Edinburgh Postnatal Depression Scale) and PPA symptoms (Perinatal Anxiety Screening Scale) were completed at baseline, after four weeks, and after a two-week follow-up. User ratings of website usability and satisfaction and website metrics were also collected.

RESULTS

PPD and PPA symptoms were significantly reduced for the intervention group only after four weeks, with improvements maintained after a two-week follow-up, corresponding with small-to-medium effect sizes (PPD: partial η2 = 0.03; PPA: partial η2 = 0.04). Intervention participants were also more likely than waitlist controls to recover from clinical levels of PPD symptoms (χ 2 (1, n = 63) = 4.58, p = .032) and PostpartumCare.ca's usability and satisfaction were rated favourably overall.

CONCLUSION

Findings suggest that a web-enabled psychoeducational resource, created in collaboration with patient partners, can effectively reduce PPD and PPA symptoms, supporting its potential use as a low-barrier option for postpartum women.

TRIAL REGISTRATION

Protocol for this trial was preregistered on NIH U.S. National Library of Medicine, ClinicalTrials.gov as of May 2022 (ID No. NCT05382884).

A systematic review of reviews on the advantages of mHealth utilization in mental health services: A viable option for large populations in low-resource settings

Global mental health services face challenges such as stigma and a shortage of trained professionals, particularly in low- and middle-income countries, which hinder access to high-quality care. Mobile health interventions, commonly referred to as mHealth, have shown to have the capacity to confront and solve most of the challenges within mental health services. This paper conducted a comprehensive investigation in 2024 to identify all review studies published between 2000 and 2024 that investigate the advantages of mHealth in mental health services. The databases searched included PubMed, Scopus, Cochrane and ProQuest. The quality of the final papers was assessed and a thematic analysis was performed to categorize the obtained data. 11 papers were selected as final studies. The final studies were considered to be of good quality. The risk of bias within the final studies was shown to be in a convincing level. The main advantages of mHealth interventions were categorized into four major themes: 'accessibility, convenience and adaptability', 'patient-centeredness', 'data insights' and 'efficiency and effectiveness'. The findings of the study suggested that mHealth interventions can be a viable and promising option for delivering mental health services to large and diverse populations, particularly in vulnerable groups and low-resource settings.

Improving parental mental health in the perinatal period: A review and analysis of quality improvement initiatives

Parental mental health is an essential sixth vital sign that, when taken into consideration, allows clinicians to improve clinical outcomes for both parents and infants. Although standards exist for screening, referral, and treatment for perinatal mood and anxiety disorders (PMADs), they are not reliably done in practice, and even when addressed, interventions are often minimal in scope. Quality improvement methodology can accelerate the implementation of interventions to address PMADs, but hurdles exist, and systems are not well designed, particularly in pediatric inpatient facilities. In this article, we review the effect of PMADs on parents and their infants and identify quality improvement interventions that can increase screening and referral to treatment of parents experiencing PMADs.

Evaluating a multi-behavioural home-based intervention for reducing depressive symptoms in postnatal women : The food, move, sleep (FOMOS) for postnatal mental health randomised controlled trial protocol

BACKGROUND

Postnatal depression (PND) is a leading cause of illness and death among women following childbirth. Physical inactivity, sedentary behaviour, poor sleep, and sub-optimal diet quality are behavioural risk factors for PND. A feasible, sustainable, and scalable intervention to improve healthy behaviours and reduce PND symptoms among women at postpartum is needed. This study aims to examine the effectiveness of a multi-behavioural home-based program Food, Move, Sleep (FOMOS) for Postnatal Mental Health designed to improve PND symptoms in women at postpartum.

METHODS

This randomised clinical trial will recruit 220 Australian women (2-12 months postpartum) experiencing heightened PND symptoms (Edinburgh Postnatal Depression Scale score ≥ 10). Participants will be randomised to FOMOS or wait-list control receiving standard clinical care. FOMOS is a 6-month mobile health (mHealth) intervention targeting diet quality, physical activity, sedentary behaviour, sleep, and mental health. The intervention, informed by the Social Cognitive Theory and incorporating behaviour change techniques defined in the CALO-RE taxonomy and Cognitive Behavioural Treatment of Insomnia, provides exercise equipment, and educational/motivational material and social support via mHealth and social media. Data collection pre-intervention and at 3, 6 and 12 months will assess the primary outcome of PND symptoms and secondary outcomes (diet quality, physical activity, sitting time, sleep quality) using self-report and device measures. Process evaluation will explore acceptability, appropriateness, cost-effectiveness, feasibility, and sustainability via analytic tools, record keeping, interviews, and surveys.

DISCUSSION

If effective, FOMOS could be a feasible and potentially scalable management strategy to support improvement of health behaviours and mental health for women with PND symptoms.

TRIAL REGISTRATION

https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?ACTRN=12622001079730p.

The effect of digital health interventions on postpartum depression or anxiety: a systematic review and meta-analysis of randomized controlled trials

OBJECTIVE

This study aimed to examine the effect of digital health interventions compared with treatment as usual on preventing and treating postpartum depression and postpartum anxiety.

DATA SOURCES

Searches were conducted in Ovid MEDLINE, Embase, Scopus, Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, and ClinicalTrials.gov.

STUDY ELIGIBILITY REQUIREMENTS

The systematic review included full-text randomized controlled trials comparing digital health interventions with treatment as usual for preventing or treating postpartum depression and postpartum anxiety.

STUDY APPRAISAL AND SYNTHESIS METHODS

Two authors independently screened all abstracts for eligibility and independently reviewed all potentially eligible full-text articles for inclusion. A third author screened abstracts and full-text articles as needed to determine eligibility in cases of discrepancy. The primary outcome was the score on the first ascertainment of postpartum depression or postpartum anxiety symptoms after the intervention. Secondary outcomes included screening positive for postpartum depression or postpartum anxiety --as defined in the primary study --and loss to follow-up, defined as the proportion of participants who completed the final study assessment compared with the number of initially randomized participants. For continuous outcomes, the Hedges method was used to obtain standardized mean differences when the studies used different psychometric scales, and weighted mean differences were calculated when studies used the same psychometric scales. For categorical outcomes, pooled relative risks were estimated.

RESULTS

Of 921 studies originally identified, 31 randomized controlled trials-corresponding to 5532 participants randomized to digital health intervention and 5492 participants randomized to treatment as usual-were included. Compared with treatment as usual, digital health interventions significantly reduced mean scores ascertaining postpartum depression symptoms (29 studies: standardized mean difference, -0.64 [95% confidence interval, -0.88 to -0.40]; I2=94.4%) and postpartum anxiety symptoms (17 studies: standardized mean difference, -0.49 [95% confidence interval, -0.72 to -0.25]; I2=84.6%). In the few studies that assessed screen-positive rates for postpartum depression (n=4) or postpartum anxiety (n=1), there were no significant differences between those randomized to digital health intervention and treatment as usual. Overall, those randomized to digital health intervention had 38% increased risk of not completing the final study assessment compared with those randomized to treatment as usual (pooled relative risk, 1.38 [95% confidence interval, 1.18-1.62]), but those randomized to app-based digital health intervention had similar loss-to-follow-up rates as those randomized to treatment as usual (relative risk, 1.04 [95% confidence interval, 0.91-1.19]).

CONCLUSION

Digital health interventions modestly, but significantly, reduced scores assessing postpartum depression and postpartum anxiety symptoms. More research is needed to identify digital health interventions that effectively prevent or treat postpartum depression and postpartum anxiety but encourage ongoing engagement throughout the study period.

Knowledge, attitude, and practice toward postpartum depression among the pregnant and lying-in women

BACKGROUND

Postpartum depression (PPD) is considered an important public health problem, and early recognition of PPD in pregnant and lactating women is critical. This study investigated the knowledge, attitude, and practice (KAP) toward PPD among pregnant and lying-in women.

METHODS

This cross-sectional study was conducted at Binzhou Medical University Hospital between September 2022 and November 2022 and included pregnant and lying-in women as study participants. A questionnaire was designed by the researchers that included demographic data and knowledge, attitude, and practice dimensions. Correlations between knowledge, attitude, and practice scores were evaluated by Pearson correlation analysis. Factors associated with practice scores were identified by multivariable logistic regression.

RESULTS

All participants scored 6.27 ± 2.45, 36.37 ± 4.16, and 38.54 ± 7.93 93 from three sub-dimensions of knowledge, attitudes, and practices regarding PPD, respectively, with statistical differences in the three scores by age, education, and job status (p < 0.05). There were no significant differences between maternal (6.24 ± 2.34, 36.67 ± 3.82 and 38.31 ± 7.27, respectively) and pregnant women (6.30 ± 2.49, 36.00 ± 4.53 and 38.83 ± 8.69, respectively) in the total scores of knowledge, attitude, and practice dimensions. According to the results of multivariate logistic regression, the knowledge (OR = 1.235[1.128-1.353], P < 0.001) and attitude (OR = 1.052[1.005-1.102], P = 0.030) dimension scores were factors influencing the practice dimension scores.

CONCLUSION

The KAP of pregnant and lying-in women toward PPD is low. This study suggests that maternal awareness of PPD should be increased through the knowledge and attitudinal dimensions. Preventing PPD in pregnant and lying-in women can be achieved by improving both dimensions, thus enhancing practice.

Digital Parenting Interventions for Fathers of Infants From Conception to the Age of 12 Months: Systematic Review of Mixed Methods Studies

BACKGROUND

Digital interventions help address barriers to traditional health care services. Fathers play an important parenting role in their families, and their involvement is beneficial for family well-being. Although digital interventions are a promising avenue to facilitate father involvement during the perinatal period, most are oriented toward maternal needs and do not address the unique needs of fathers.

OBJECTIVE

This systematic review describes the digital interventions that exist or are currently being developed for fathers of infants from conception to 12 months postpartum.

METHODS

A systematic search of the MEDLINE, PsycINFO, Cochrane Central Register of Controlled Trials, Embase (using Ovid), and CINAHL (using EBSCO) databases was conducted to identify articles from database inception to June 2022, of which 39 met the inclusion criteria. Articles were included if they were peer-reviewed and described a digital intervention that targeted fathers of fetuses or infants aged ≤12 months. Systematic reviews, meta-analyses, and opinion pieces were excluded. Data from these studies were extracted and themed using a narrative synthesis approach. Quality appraisal of the articles was conducted using the Mixed Methods Appraisal Tool.

RESULTS

A total of 2816 articles were retrieved, of which 39 (1.38%) met the inclusion criteria for eligibility after removing duplicates and screening. Eligible articles included 29 different interventions across 13 countries. Most articles (22/29, 76%) described interventions that were exclusively digital. There were a variety of digital modalities, but interventions were most commonly designed to be delivered via a website or web-based portal (14/29, 48%). Just over half (21/39, 54%) of the articles described interventions designed to be delivered from pregnancy through the postpartum period. Only 26% (10/39) of the studies targeted fathers exclusively. A wide range of outcomes were included, with 54% (21/39) of the studies including a primary outcome related to intervention feasibility. Qualitative and mixed methods studies reported generally positive experiences with digital interventions and qualitative themes of the importance of providing support to partners, improving parenting confidence, and normalization of stress were identified. Of the 18 studies primarily examining efficacy outcomes, 13 (72%) reported a statistically significant intervention effect. The studies exhibited a moderate quality level overall.

CONCLUSIONS

New and expecting fathers use digital technologies, which could be used to help address father-specific barriers to traditional health care services. However, in contrast to the current state of digital interventions for mothers, father-focused interventions lack evaluation and evidence. Among the existing studies on digital interventions for fathers, there seem to be mixed findings regarding their feasibility, acceptability, and efficacy. There is a need for more development and standardized evaluation of interventions that target father-identified priorities. This review was limited by not assessing equity-oriented outcomes (eg, race and socioeconomic status), which should also be considered in future intervention development.

App-based interventions for the prevention of postpartum depression: a systematic review and meta-analysis

BACKGROUND

This study explored whether psychosocial intervention applications (apps) are effective in preventing postpartum depression.

METHODS

We conducted an initial article search on 26 March 2020, and the updated search on 17 March 2023 on the electronic databases of the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE via Ovid, Scopus, PsycINFO, CINAHL, and ProQuest Dissertations & Theses A&I. Furthermore, we searched the International Clinical Trials Platform Search Portal (ICTRP), and Clinical Trials.

RESULTS

We identified 2515 references, and sixteen studies were ultimately included in this review. We conducted a meta-analysis of two studies on the onset of postpartum depression. There were no significant differences between the intervention and control groups (RR 0.80; 95% CI 0.62 to 1.04; P = 0.570). We performed a meta-analysis of the Edinburgh Postnatal Depression Scale (EPDS). The intervention group had significantly lower EPDS scores than the control group (mean difference -0.96; 95% CI -1.44 to -0.48; P < 0.001, I2 = 82%, Chi² = 62.75, P < 0.001; high heterogeneity).

CONCLUSION

This study presents the results of current RCTs on interventions with apps, including an app with an automated psychosocial component for preventing postpartum depression that has been conducted. These apps improved the EPDS score; furthermore, they may prevent postpartum depression.

Psychological treatment of perinatal depression: a meta-analysis

BACKGROUND

Depression during pregnancy and after the birth of a child is highly prevalent and an important public health problem. Psychological interventions are the first-line treatment and, although a considerable number of randomized trials have been conducted, no recent comprehensive meta-analysis has evaluated treatment effects.

METHODS

We used an existing database of randomized controlled trials of psychotherapies for adult depression and included studies aimed at perinatal depression. Random effects models were used in all analyses. We examined the effects of the interventions in the short and long term, and also examined secondary outcomes.

RESULTS

Forty-three studies with 49 comparisons and 6270 participants between an intervention and control group were included. The overall effect size was g = 0.67 [95% confidence interval (CI) 0.45~0.89; numbers needed-to-be-treated = 4.39] with high heterogeneity (I2 = 80%; 95% CI 75~85). This effect size remained largely unchanged and significant in a series of sensitivity analyses, although some publication bias was found. The effects remained significant at 6-12 months follow-up. Significant effects were also found for social support, anxiety, functional limitations, parental stress and marital stress, although the number of studies for each outcome was low. All results should be considered with caution because of the high levels of heterogeneity in most analyses.

CONCLUSIONS

Psychological interventions are probably effective in the treatment of perinatal depression, with effects that last at least up to 6-12 months and probably also have effects on social support, anxiety, functional impairment, parental stress, and marital stress.

The Power and Promise of Postpartum Self Care: Evaluation of a Web-Based Tool for Underserved Women

OBJECTIVES

Joyuus is a culturally diverse, comprehensive online tool designed to address the self-care needs of underserved postpartum women. The tool provides actionable self-care information, knowledge, and skills to improve postpartum health and identifies red flags for when self-care shifts to seeking care.

METHODS

We employed a mixed-methods multiphase design to evaluate the Joyuus prototype, including a pre-post evaluation (N = 87) to assess behavioral health outcomes before and after using the tool for a one-month period. 91% completed the post-test (N = 79). The analysis focused on estimation of treatment effect (via 95% confidence intervals) and fitness of instruments in this population.

RESULTS

Participants were between 6 months pregnant and one year postpartum, a mean age of 30 years, 100% female, 99% Black, with nearly equal distribution of married (55%) and not married (44%), and above (47%) and below (46%) annual income of $60 K. Key measures saw significant improvement from pre- (mean = 26.44, SD = 5.39) to post (mean = 28.29, SD = 5.26) on the Connor-Davidson Resilience Scale (p < 0.001) Trends toward improvement (not statistically significant) were noted for Depression (EPDS) (p = 0.624) and Anxiety (STAI) (p = 0.286), and no meaningful change on MOS Social Support or COVID-19 Mental Health Impacts Measures.

CONCLUSIONS FOR PRACTICE

This pilot study demonstrates that a self-care mobile tool has the potential to address significant health outcomes related to maternal morbidity and mortality. By providing a continuously available companion addressing physical, mental, and real-life questions, it creates value during postpartum for mothers who can often feel overwhelmed or isolated.

The effectiveness of postpartum interventions aimed at improving women’s mental health after medical complications of pregnancy: a systematic review and meta-analysis

Background

Postpartum mental disorders including depression and anxiety are common. Medical complications of pregnancy, such as preeclampsia and gestational diabetes, are thought to increase the risk of mental disorders postpartum. However, it is unclear which interventions may be effective for preventing and/or treating postpartum mental disorders following a medically complicated pregnancy. We aimed to systematically review published literature on the effectiveness of postpartum interventions to improve women’s mental health after medical complications of pregnancy.

Methods

Systematic review (PROSPERO: CRD42021220030) was performed. Eligibility criteria: (1) randomized controlled trials (RCTs), published 1st Jan 2001-12th August 2021 (2) outcome measures reported on postpartum mental disorders (3) participants had ≥ 1 medical complication during pregnancy (4) intervention entirely postpartum or contained a postpartum component (5) full-text available in English or Chinese. Risk of bias was assessed using the Revised Cochrane Criteria Risk of Bias. Random effects inverse-variance weighted meta-analysis was used to pool the individual standardized mean differences (SMD) in depression or anxiety scores between intervention and control groups.

Results

Of 5928 studies screened, 9 met inclusion criteria, and were based on non-pharmaceutical, combined lifestyle interventions that began shortly after childbirth, or as part of extended care packages beginning during pregnancy. Of these, 2 were rated as low risk of bias, 1 with some concerns, and 6 were at high risk. Meta-analysis was performed for 8 studies using standardized measures of depression and 7 for anxiety. There were statistically significant reductions in depression (SMD − 1.48; 95%CI: -2.41 to -0.55), and anxiety scores (SMD − 1.98; 95%CI: -3.03 to -0.94) in intervention versus control groups. Considerable heterogeneity was noted for pooled depression (I² = 97.9%, p < 0.05), and anxiety (I² = 96.8%, p < 0.05) results.

Conclusion

Limited intervention studies aimed at improving postpartum mental disorders after medically complicated pregnancy were found, most with a high risk of bias. There was some evidence to suggest that postpartum depression and anxiety scores improved after early intervention. However, in general the current quality of evidence is low. Further, high-quality, interventional research is required in this understudied field.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12884-022-05084-1.

A Mobile Education and Social Support Group Intervention for Improving Postpartum Health in Northern India: Development and Usability Study

BACKGROUND

Structural and cultural barriers limit Indian women's access to adequate postnatal care and support despite their importance for maternal and neonatal health. Targeted postnatal education and support through a mobile health intervention may improve postnatal recovery, neonatal care practices, nutritional status, knowledge and care seeking, and mental health.

OBJECTIVE

We sought to understand the feasibility and acceptability of our first pilot phase, a flexible 6-week postnatal mobile health intervention delivered to 3 groups of women in Punjab, India, and adapt our intervention for our next pilot phase, which will formally assess intervention feasibility, acceptability, and preliminary efficacy.

METHODS

Our intervention prototype was designed to deliver culturally tailored educational programming via a provider-moderated, voice- and text-based group approach to connect new mothers with a social support group of other new mothers, increase their health-related communication with providers, and refer them to care needed. We targeted deployment using feature phones to include participants from diverse socioeconomic groups. We held moderated group calls weekly, disseminated educational audios, and created SMS text messaging groups. We varied content delivery, group discussion participation, and chat moderation. Three groups of postpartum women from Punjab were recruited for the pilot through community health workers. Sociodemographic data were collected at baseline. Intervention feasibility and acceptability were assessed through weekly participant check-ins (N=29), weekly moderator reports, structured end-line in-depth interviews among a subgroup of participants (15/29, 52%), and back-end technology data.

RESULTS

The participants were aged 24 to 28 years and 1 to 3 months postpartum. Of the 29 participants, 17 (59%) had their own phones. Half of the participants (14/29, 48%) attended ≥3 of the 6 calls; the main barriers were childcare and household responsibilities and network or phone issues. Most participants were very satisfied with the intervention (16/19, 84%) and found the educational content (20/20, 100%) and group discussions (17/20, 85%) very useful. The participants used the SMS text messaging chat, particularly when facilitator-moderated. Sustaining participation and fostering group interactions was limited by technological and sociocultural challenges.

CONCLUSIONS

The intervention was considered generally feasible and acceptable, and protocol adjustments were identified to improve intervention delivery and engagement. To address technological issues, we engaged a cloud-based service provider for group calls and an interactive voice response service provider for educational recordings and developed a smartphone app for the participants. We seek to overcome sociocultural challenges through new strategies for increasing group engagement, including targeting midlevel female community health care providers as moderators. Our second pilot will assess intervention feasibility, acceptability, and preliminary effectiveness at 6 months. Ultimately, we seek to support the health and well-being of postpartum women and their infants in South Asia and beyond through the development of efficient, acceptable, and effective intervention strategies.

Effectiveness of Internet-based psychological interventions for treating perinatal depression: A systematic review and meta-analysis

BACKGROUND

Perinatal depression can result in short- and long-term adverse effects for women and their children if untreated. Psychological interventions, the preferred treatment for most women with perinatal depression, can also be provided online.

AIMS

This study aimed to provide a comprehensive and systematic review of Internet-based psychological interventions and to evaluate their effectiveness in the treatment of perinatal depression.

DESIGN

Systematic review and meta-analysis.

METHODS

A systematic literature search was conducted of six databases, including CINAHL, PubMed, Embase, Web of Science, the Cochrane Library and PsycINFO. Depression and anxiety, which were the primary and secondary results of this search, were presented as standardised mean differences (SMD) and 95% confidence intervals (CIs). This review was conducted according to the PRISMA checklist.

RESULTS

Thirteen studies involving 2158 perinatal women were included. Content, method, duration and frequency of Internet-based psychological interventions were varied. Participants indicated a high rate of satisfaction with these interventions; participants' dropout rates ranged from 2.6% to 60.8%. Meta-analysis demonstrated that Internet-based psychological interventions improved perinatal depression (SMD = -0.72, CI = [-1.02, -0.42], p < .01) and anxiety symptoms (SMD = -0.52, CI = [-0.73, -0.30], p < .01), with heterogeneity of 86% and 59%, respectively.

CONCLUSIONS

Internet-based psychological interventions are considered as convenient and effective alternative treatment for perinatal depression and anxiety. In the future, additional studies are needed to investigate the long-term effects of these interventions on the mental health of perinatal women and the effects on the growth and development of infants while controlling for the dropout rate.

RELEVANCE TO CLINICAL PRACTICE

Internet-based psychological interventions are innovative approaches to improving perinatal depressive symptoms that can leverage mental health resources and improve accessibility while promoting multidisciplinary integration. The approach, content, frequency and duration of intervention should be considered comprehensively to achieve the objectives of the intervention while maintaining compliance of women with perinatal depression.

Predicting perinatal health outcomes using smartphone-based digital phenotyping and machine learning in a prospective Swedish cohort (Mom2B): study protocol

INTRODUCTION

Perinatal complications, such as perinatal depression and preterm birth, are major causes of morbidity and mortality for the mother and the child. Prediction of high risk can allow for early delivery of existing interventions for prevention. This ongoing study aims to use digital phenotyping data from the Mom2B smartphone application to develop models to predict women at high risk for mental and somatic complications.

METHODS AND ANALYSIS

All Swedish-speaking women over 18 years, who are either pregnant or within 3 months postpartum are eligible to participate by downloading the Mom2B smartphone app. We aim to recruit at least 5000 participants with completed outcome measures. Throughout the pregnancy and within the first year postpartum, both active and passive data are collected via the app in an effort to establish a participant's digital phenotype. Active data collection consists of surveys related to participant background information, mental and physical health, lifestyle, and social circumstances, as well as voice recordings. Participants' general smartphone activity, geographical movement patterns, social media activity and cognitive patterns can be estimated through passive data collection from smartphone sensors and activity logs. The outcomes will be measured using surveys, such as the Edinburgh Postnatal Depression Scale, and through linkage to national registers, from where information on registered clinical diagnoses and received care, including prescribed medication, can be obtained. Advanced machine learning and deep learning techniques will be applied to these multimodal data in order to develop accurate algorithms for the prediction of perinatal depression and preterm birth. In this way, earlier intervention may be possible.

ETHICS AND DISSEMINATION

Ethical approval has been obtained from the Swedish Ethical Review Authority (dnr: 2019/01170, with amendments), and the project fully fulfils the General Data Protection Regulation (GDPR) requirements. All participants provide consent to participate and can withdraw their participation at any time. Results from this project will be disseminated in international peer-reviewed journals and presented in relevant conferences.

Promoting Mental Health in Parents of Young Children Using eHealth Interventions: A Systematic Review and Meta-analysis

Parent stress and mental health problems negatively impact early child development. This study aimed to systematically review and meta-analyze the effect of eHealth interventions on parent stress and mental health outcomes, and identify family- and program-level factors that may moderate treatment effects. A search of PsycINFO, Medline, CINAHL, Cochrane and Embase databases was conducted from their inception dates to July 2020. English-language controlled and open trials were included if they reported: (a) administration of an eHealth intervention, and (b) stress or mental health outcomes such as self-report or clinical diagnosis of anxiety and depression, among (c) parents of children who were aged 1–5 years old. Non-human studies, case reports, reviews, editorials, letters, dissertations, and books were excluded. Risk of bias was assessed using the National Institutes of Health (NIH) Study Quality Assessment Tools. Random-effects meta-analyses of standardized mean differences (SMD) were conducted and meta-regressions tested potential moderators. 38 studies were included (N = 4360 parents), from 13 countries (47.4% USA). Meta-analyses indicated eHealth interventions were associated with better self-reported mental health among parents (overall SMD = .368, 95% CI 0.228, 0.509), regardless of study design (k = 30 controlled, k = 8 pre-post) and across most outcomes (k = 17 anxiety, k = 19 depression, k = 12 parenting stress), with small to medium effect sizes. No significant family- or program-level moderators emerged. Despite different types and targets, eHealth interventions offer a promising and accessible option to promote mental health among parents of young children. Further research is needed on moderators and the long-term outcomes of eHealth interventions. Prospero Registration: CRD42020190719.

Acceptability of virtual therapy for postpartum women during COVID-19: A national mixed methods study

BACKGROUND

Postpartum depression (PPD) affects one in eight women in the U.S., with rates increasing due to the COVID-19 pandemic. Given the unique circumstances of COVID-19, virtual therapy might be a unique way to overcome barriers to mental health services. The study sought to explore the acceptability of virtual therapy among women in the postpartum period.

METHODS

Using an online recruitment mixed methods approach, we collected data from a U.S. national cross-sectional sample of women (N = 479) who gave birth in the last 12 months.

FINDINGS

Results show that 66% of women endorsed items consistent with possible depression during the COVID-19 pandemic. Only 27% accessed therapy services during the postpartum period. While 88% were open to engaging in virtual therapy services, 12% identified several major concerns with virtual therapy, namely: (1) preference for in-person therapy (2) no perceived need for therapy (3) uncomfortable with virtual therapy, and (4) lack of privacy. Of note, 36% more Latinas reported dissatisfaction with quality of care received during virtual therapy compared to non-Latina participants. Despite a major shift to virtual care with COVID-19, future work is needed to make virtual mental health services more accessible for women with PPD.

Evaluating the effectiveness and quality of mobile applications for perinatal depression and anxiety: A systematic review and meta-analysis

BACKGROUND

Our objectives were to assess: (1) the effectiveness of existing mHealth apps for reducing symptoms of maternal depression and/or anxiety during the prenatal period and/or the first year postpartum, and (2) the app quality of commercially available apps targeting perinatal depression and/or anxiety.

METHODS

To address Objective 1, we searched five electronic databases (MEDLINE, CINAHL, PsycINFO, Web of Science, and Embase) from their inception until May 3rd, 2021. For the second objective, we searched Google Play and Apple App Stores in the United States, United Kingdom, Canada, and Australia until May 3rd, 2021.

RESULTS

Our search identified 3,897 articles, seven of which were meta-analyzed. mHealth apps did not improve perinatal depression (SMD, -0.39; 95% CI, -0.80 to 0.03) or anxiety (SMD, 0.01; 95% CI, -0.13 to 0.16) within the first 3 months post-intervention or at 6 months post-intervention. Our search of app stores identified 74 commercially available apps, 37 of which were evaluated via MARS tool. Current apps for perinatal anxiety and/or depression were rated to be of moderate quality on the MARS (mean, 3.6/5).

LIMITATIONS

There is a small number of overall studies in this field and the individual studies have methodological limitations. Furthermore, few apps identified in our app store search have been clinically tested.

CONCLUSION

Despite their widespread availability, mHealth apps do not appear to effectively reduce perinatal depression or anxiety, and few were subjectively rated to be of high quality. There is a need to develop higher quality mHealth apps and assess their potential to improve perinatal maternal mental health.

Evaluation of a two-way SMS messaging strategy to reduce neonatal mortality: rationale, design and methods of the Mobile WACh NEO randomised controlled trial in Kenya

INTRODUCTION

Globally, approximately half of the estimated 6.3 million under-5 deaths occur in the neonatal period (within the first 28 days of life). Kenya ranks among countries with the highest number of neonatal deaths, at 20 per 1000 live births. Improved identification and management of neonates with potentially life-threatening illness is critical to meet the WHO's target of ≤12 neonatal deaths per 1000 live births by 2035. We developed an interactive (two-way) short messaging service (SMS) communication intervention, Mobile Solutions for Neonatal Health (Mobile women's and children's health (WACh) NEO), focused on the perinatal period. Mobile WACh NEO sends automated tailored SMS messages to mothers during pregnancy and up to 6 weeks post partum. Messages employ the Information-Motivation-Behaviour Skills framework to promote (1) maternal implementation of essential newborn care (ENC, including early, exclusive breast feeding, cord care and thermal care), (2) maternal identification of neonatal danger signs and care-seeking, and (3) maternal social support and self-efficacy. Participants can also send SMS to the study nurse, enabling on-demand remote support.

METHODS AND ANALYSIS

We describe a two-arm unblinded randomised controlled trial of the Mobile WACh NEO intervention. We will enrol 5000 pregnant women in the third trimester of pregnancy at 4 facilities in Kenya and randomise them 1:1 to receive interactive SMS or no SMS (control), and conduct follow-up visits at 2 and 6 weeks post partum. Neonatal mortality will be compared between arms as the primary outcome. Secondary outcomes include care-seeking, practice of ENC and psychosocial health. Exploratory analysis will investigate associations between maternal mental health, practice of ENC, care-seeking and SMS engagement.

ETHICS AND DISSEMINATION

This study received ethical approval from the University of Washington (STUDY00006395), Women and Infants Hospital (1755292-1) and Kenyatta National Hospital/University of Nairobi (P310/04/2019). All participants will provide written informed consent. Findings will be published in peer-reviewed journals and international conferences.

TRIAL REGISTRATION NUMBER

NCT04598165.

Effectiveness of web-based and mobile-based psychological interventions to prevent perinatal depression: Study protocol for a systematic review and meta-analysis of randomized controlled trials

INTRODUCTION

Perinatal depression is one of the most common complications during pregnancy and one year following childbirth. A negative impact on the mental and physical health of women, their children, partners, or significant others has been associated with this disease. Web-based and Mobile-based psychological interventions can reduce the burden of the disease through prevention of new cases of depression. It is crucial to know the effectiveness of these interventions to implement them around the globe. This systematic review and meta-analysis aims to assess the effectiveness of Web-based and Mobile-based psychological interventions to prevent depression during the perinatal period.

METHOD AND ANALYSIS

A systematic review and meta-analysis will adhere to the PRISMA guidelines. Studies will be identified through MEDLINE, PsycINFO, Web of Science, Scopus, CINAHL, CENTRAL, Opengrey, Australian New Zealand Clinical Trial Registry, National Institute for Mental Health Research at the Australian National University, clinicaltrial.gov, beacon.anu.edu.au, and evidencebasedpsychotherapies.org from inception until 31 March 2021. We will also search the reference lists provided in relevant studies and reviews. The selection criteria will be as follows: 1) pregnant women or women who have given birth in the last 12 months and who were non-depressive at baseline; 2) Web-based and Mobile-Based psychological interventions; 3) comparators will be usual care, attention control, waiting list or no intervention; 4) outcomes will be the incidence of new cases of perinatal depression and/or the reduction of depressive symptoms as measured by validated instruments; and 5) the design of the studies will be randomized controlled trials. No restrictions regarding the year or language of publication will be considered. Pooled standardized mean differences and 95% confidence intervals will be calculated. The risk of bias of the studies will be assessed through the Cochrane Collaboration risk of bias 2.0 tool. Heterogeneity and publication bias will be estimated. Sensitivity and sub-group analyses will also be conducted. Random effects meta-regression will be performed.

ETHICS AND DISSEMINATION

As a systematic review, ethical approval is not required. The results from this study will be presented at international conferences and disseminated through peer-reviewed publications. Patients and the public will be involved in the dissemination plans.

PROSPERO REGISTRATION NUMBER

230,089 (submitted).

[Adherence to digital health interventions: definitions, methods, and open questions]

Many digital interventions rely on the participation of their users to have a positive impact. In various areas it can be observed that the use of digital interventions is often reduced or fully discontinued by the users after a short period of time. This is seen as one of the main factors that can limit the effectiveness of digital interventions. In this context, the concept of adherence to digital interventions is becoming increasingly important. Adherence to digital interventions is roughly defined as "the degree to which the user followed the program as it was designed," which can also be paraphrased as "intended use" or "use as it is designed." However, both the theoretical-conceptual and practical discussions regarding adherence to digital interventions still receive too little attention.The aim of this narrative review article is to shed more light on the concept of adherence to digital interventions and to distinguish it from related concepts. It also discusses the methods and metrics that can be used to operationalize adherence and the predictors that positively influence adherence. Finally, needs for action to better address adherence are considered critically.

To What Extent is Internet Activity Predictive of Psychological Well-Being?

BACKGROUND

Healthy internet activity (eg, making use of eHealth and online therapy) is positively associated with well-being. However, unhealthy internet activity (too much online time, problematic internet use/PIU, internet dependency/ID, etc.) is associated with reduced well-being, loneliness, and other related negative aspects. While most of the evidence is correlational, some research also shows that internet activity can be predictive for well-being.

OBJECTIVE

The aim of this article is to elaborate on the question as to what extent internet activity is predictive of psychological well-being by means of (a) a scoping review and (b) theoretical understanding which model the interrelation of internet activity and psychological well-being.

METHODOLOGY

We searched different electronic databases such as Web of Science by using the search terms "Internet" OR "App" OR "digital" OR "online" OR "mobile application" AND "Use" OR "Activity" OR "Behavior" OR "Engagement" AND "Well-being" OR "Loneliness" for (a, the scoping review) or CCAM for (b, the theoretical understanding).

RESULTS

The scoping review (a) summarizes recent findings: the extent to which internet activity is predictive for well-being depends on the internet activity itself: internet activity facilitating self-management is beneficial for well-being but too much internet activity, PIU and ID are detrimental to well-being. To understand (b) why, when and how internet activity is predictive for well-being, theoretical understanding and a model are required. While theories on either well-being or internet activity exist, not many theories take both aspects into account while also considering other behaviors. One such theory is the Compensatory Carry-Over Action Model (CCAM) which describes mechanisms on how internet use is related to other lifestyle behaviors and well-being, and that individuals are driven by the goal to adopt and maintain well-being - also called higher-level goals - in the CCAM. There are few studies testing the CCAM or selected aspects of it which include internet activity and well-being. Results demonstrate the potentials of such a multifactorial, sophisticated approach: it can help to improve health promotion in times of demographic change and in situations of lacking personnel resources in health care systems.

CONCLUSION AND RECOMMENDATION

Suggestions for future research are to employ theoretical approaches like the CCAM and testing intervention effects, as well as supporting individuals in different settings. The main aim should be to perform healthy internet activities to support well-being, and to prevent unhealthy internet activity. Behavior management and learning should accordingly aim at preventing problematic internet use and internet dependency.